Visualizaciones de otros datos.

Cargamos las librerias que vamos a usar durante el proyecto:

Ruta de trabajo

path <- "~/clase/proyecto r/ProyectoVirusTotal/Android"

Operación de carga de datos

files <- dir(path, pattern = "*.json")
cl <- makeCluster(detectCores() -1 )
json_files<-list.files(path =path,pattern="*.json",full.names = TRUE)

json_list<-parLapply(cl,json_files,function(x) jsonlite::read_json(path = x , simplifyVector = TRUE))
stopCluster(cl)
json_tabla <- json_list %>%
  spread_all()

Paises donde se suben ficheros.

countries <-  as.data.frame(json_tabla) %>% group_by(submission.submitter_country)
countries_sel <- countries%>%plotly::select(positives, submission.submitter_country)

countries_paises <- as.data.frame(table(countries_sel))%>% group_by(submission.submitter_country)
countries_positives_circulos<-ggplot(data = countries_paises , aes(y = positives , x = submission.submitter_country , size = Freq , color = submission.submitter_country)) +  geom_point(alpha=0.3) + scale_size(range = c(.1, 18), name="Frecuencia")
ggplotly(countries_positives_circulos)